/**
 * Copyright 2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_NN_APPLY_ADAGRAD_AD_KERNEL_H_
#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_NN_APPLY_ADAGRAD_AD_KERNEL_H_
#include <vector>
#include <map>
#include <utility>

#include "mindspore/ops/infer/apply_adagrad_d_a.h"
#include "kernel/gpu/gpu_kernel.h"
#include "include/runtime/hardware_abstract/kernel_base/ms_factory.h"

namespace mindspore {
namespace kernel {
class ApplyAdagradDAGpuKernelMod : public NativeGpuKernelMod {
 public:
  ApplyAdagradDAGpuKernelMod() {}
  ~ApplyAdagradDAGpuKernelMod() override = default;

  bool Launch(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &workspace,
              const std::vector<KernelTensor *> &outputs, void *stream_ptr) override;

  bool Init(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;
  int Resize(const std::vector<KernelTensor *> &inputs, const std::vector<KernelTensor *> &outputs) override;

  std::vector<KernelAttr> GetOpSupport() override;

 private:
  template <typename T, typename T1, typename T2, typename T3, typename T4>
  bool LaunchKernel(const std::vector<kernel::KernelTensor *> &inputs,
                    const std::vector<kernel::KernelTensor *> &outputs);
  using ApplyAdagradDAFunc =
    std::function<bool(ApplyAdagradDAGpuKernelMod *, const std::vector<kernel::KernelTensor *> &,
                       const std::vector<kernel::KernelTensor *> &)>;
  static std::vector<std::pair<KernelAttr, ApplyAdagradDAFunc>> func_list_;
  ApplyAdagradDAFunc kernel_func_;

  void *stream_ptr_{nullptr};
  size_t unit_size_{0};
  bool is_null_input_{false};
  size_t input_elements_{0};
  size_t batch_rank_;
  size_t batch_size_;
};
}  // namespace kernel
}  // namespace mindspore

#endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_NN_APPLY_ADAGRAD_AD_KERNEL_H_
